Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients

Abstract

This research paper explore the methodology and findings associated with Proceedings of the AAAI Conference on Artificial Intelligence. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).